Takumi Nohara
ABSTRACT
Screen lock is vulnerable against shoulder surfing since password, personal identification numbers (PIN) and pattern can be seen when smart phones are used in public space although important information is stored in them and they are often used in public space. In this paper, we propose a new method in which passwords are combined with biometrics authentication which cannot be seen by shoulder surfing and difficult to be guessed by brute-force attacks. In our method, the motion of a finger is measured by sensors when a user controls a mobile terminal, and the motion which includes characteristics of the user is registered. In our method, registered characteristics are classified by learning with self-organizing maps. Users are identified by referring the self-organizing maps when they input passwords on mobile terminals.
- Kobata, S., Terabayashi, Y., and Uda, R. 2013. "Proposal of Method for Personal Identification with Flick Input." In Proceedings of CA 2013 (Honolulu, USA, August 26-28, 2013). IASTED, Calgary, 136--142Google Scholar
- Kobata, S., Uda, R. and Tezuka, S. 2014. "Personal Identification by Flick Input with Acceleration Sensor." In Proceedings of ICUIMC 2014 (Siem Reap, Cambodia, January 9-11, 2014). ACM, New York, NY, P2--15 Google ScholarDigital Library
- Takeuchi, N., Uda, R. "Password Security Enhancement Method by Flick Input with Considering the Floor Shake" Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication, 2015 Google ScholarDigital Library
- Yamada, K., Notomi, K., Saito, K. 2014. "Personal Autentication Method Using Behavioral Feature Amounts of Smartphone Handing" In Proceeding of Biomedical Fuzzy Systems Association Vol.16, No.1, 41--48, 2014 (Japanese)Google Scholar
- Kita, Y., Kamizato, K., Park, M., Okazaki, N. 2014 "A Study of Rhythm Authentication and its Accuracy using the Self-Organizing Maps" In Proceeding of Multimedia, Distributed, Cooperative, and Mobile Symposium(DICOMO), 1011--1018, 2014(Japanese)Google Scholar
- T. Kohonen "Self-Organizing Maps" In Proceeding of Springer Series in Information Sciences, Volume 30, 1995Google Scholar
- Information-technology Promotion Agency "Information security: About a virus and an unlawful access notification situation", 2008 (Japanese)Google Scholar
Index Terms
- Personal Identification by Flick Input Using Self-Organizing Maps with Acceleration Sensor and Gyroscope
Recommendations
Improvement of Personal Identification by Flick Input with Acceleration Sensor
COMPSACW '14: Proceedings of the 2014 IEEE 38th International Computer Software and Applications Conference WorkshopsFlick input is usual input method on touch panels of smartphones. Inputted characters are decided by a touched place on the screen and by a moving direction from the place. There is a research by Terabayashi et al. In which users are identified with ...
Personal identification by flick input with acceleration sensor
ICUIMC '14: Proceedings of the 8th International Conference on Ubiquitous Information Management and CommunicationFlick input is usual input method on touch panels of smart phones. Inputted characters are decided by a touched place on the screen and by a moving direction from the place. There is a research in which users are identified with characteristics of flick ...
Password security enhancement method by flick input with considering the floor shake
IMCOM '15: Proceedings of the 9th International Conference on Ubiquitous Information Management and CommunicationSimple password lock is usually used for smart phones in which significant information is managed although screen of smart phones is often exposed to the menace of shoulder surfing or smudge attacks. Some of the characters for the password is presumable ...
Comments